地球信息科学学报 ›› 2014, Vol. 16 ›› Issue (2): 328-334.doi: 10.3724/SP.J.1047.2014.00328

• 遥感科学与应用技术 • 上一篇    下一篇

基于GIS-LCA的能源植物黄连木开发环境潜力评估

路璐1, 傅新宇2, 江东2, 付晶莹2, 姜小三1   

  1. 1. 南京农业大学资源与环境科学学院, 南京 210095;
    2. 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室, 北京 100101
  • 收稿日期:2013-04-26 修回日期:2013-06-28 出版日期:2014-03-10 发布日期:2014-03-10
  • 通讯作者: 姜小三(1967- ),男,博士,副教授,研究方向为资源环境信息系统。E-mail:gis@njau.edu.cn E-mail:gis@njau.edu.cn
  • 作者简介:路 璐(1987- ),女,硕士生,研究方向为资源环境信息系统。E-mail:lulu_5030@163.com
  • 基金资助:

    地震行业科研专项项目(201208018)。

Assessment of Bioenergy Potential of Pistacia chinensis in China Based on GIS and Life Cycle Analysis

LU Lu1, FU Xinyu2, JIANG Dong2, FU Jingying2, JIANG Xiaosan1   

  1. 1. College of Resources and Environmental Science, Nanjing Agricultural University, Nanjing 210095, China;
    2. State Key Labratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2013-04-26 Revised:2013-06-28 Online:2014-03-10 Published:2014-03-10
  • Contact: 10.3724/SP.J.1047.2014.00328 E-mail:gis@njau.edu.cn

摘要:

能源植物开发利用是应对能源问题和全球变化的有效途径之一,准确的资源潜力及时空分布信息是资源规划和相关科学研究的重要基础。本文提出了耦合地理信息系统(GIS)空间分析与生命周期分析(LCA)进行能源植物开发利用潜力评估的技术方法,以黄连木为例进行研究。基于土地利用数据、遥感数据、气象数据、土壤数据,以及黄连木的生态习性,采用多因子综合评价方法,建立了1km空间栅格数据的黄连木种植适宜性综合评价模型,获取了适宜于黄连木规模化种植的土地资源与空间分布;另外,采用LCA方法对黄连木开发利用主要环节的温室气体排放进行了定量估算。结果表明,我国可用于发展黄连木的边际土地总量为1989.76万hm2,其中,适宜黄连木生长的土地面积为710.32万hm2,较适宜黄连木生长的土地面积为1279.44万hm2,总温室气体减排潜力为2544.46万t。同时,较之于传统的区域总体统计值的结果,空间栅格的评估方法可为科学决策提供更为精细的数据支撑。

关键词: LCA, 多因子综合评价, GIS, 资源潜力

Abstract:

Fossil fuel shortages and environmental pollution problems are worsening, while globally, countries are actively seeking alternative energy sources. As an important renewable energy, bio-fuel (including bio-fuel ethanol and biodiesel) has attracted extensive attention of governments and enterprises throughout the world. Development and utilization of energy plants is one effective way to deal with energy issues and global change, and accurate information resource potential and the spatial and temporal important distribution is a foundation for resource planning and related research. The main objective of this paper is to establish an operational method for comprehensive evaluating biodiesel potential of Pistacia chinensis in China by combining GIS with life cycle analysis (LCA). Geographic Information System (GIS) is adopted as a tool to process spatial data from different sources, and establish the integrated multiple factors model. Meanwhile, LCA is used to evaluate the GHG emission from Pistacia chinensis plantation, yield acquisition, production, and product use through to post-processing. First, the potentiality, degree and spatial distribution of marginal land resources suitable for Pistacia chinensis planting are determined. Next, LCA-based analytical model of GHG emission reduction potential of biodiesel produced from Pistacia chinensis is established. By this means, the analysis and appraisal of maximum net GHG emission reduction potential of biodiesel from Pistacia chinensis can be achieved, thus offering technical methods and typical cases for analysis of development potentials and environmental benefits of biofuels derived from energy plants. The results indicate that total area of marginal land exploitable for development of Pistacia chinensis is about 19.90 million hm2, which is made up of the suitable area 7.10 million hm2 and the fairly suitable area 12.79 million hm2. And the total greenhouse gas emission reduction potential is 2.55 million tons per year.

Key words: resource potential, LCA, multiple factor integrated analysis, GIS